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Salesforce Certified Data Architect Sample Questions (Q47-Q52):

NEW QUESTION # 47
A large retail B2C customer wants to build a 360 view of its customer for its call center agents. The customer interaction is currently maintained in the following system:
1. Salesforce CRM
3. Customer Master Data management (MDM)
4. Contract Management system
5. Marketing solution
What should a data architect recommend that would help upgrade uniquely identify customer across multiple systems:

A. Store the salesforce id in all the solutions to identify the customer.
B. Create a custom field as external id to maintain the customer Id from the MDM solution.
C. Create a customer data base and use this id in all systems.
D. Create a custom object that will serve as a cross reference for the customer id.

Answer: B

Explanation:
To help uniquely identify customer across multiple systems, a data architect should recommend creating a custom field as external ID to maintain the customer ID from the MDM solution. An external ID is a custom field that has the "External ID" attribute enabled, which means that it contains unique record identifiers from a system outside of Salesforce. By using the customer ID from the MDM solution as an external ID in Salesforce CRM, Contract Management system, and Marketing solution, the data architect can ensure that each customer can be easily identified and integrated across these systems. Option A is incorrect because storing the Salesforce ID in all the solutions to identify the customer will not work if the customer records are created or updated in other systems besides Salesforce CRM. Option B is incorrect because creating a custom object that will serve as a cross reference for the customer ID will require additional configuration effort and may not be consistent with the actual customer records in each system. Option C is incorrect because creating a customer database and using this ID in all systems will require additional infrastructure cost and maintenance effort.

NEW QUESTION # 48
The data architect for UC has written a SOQL query that will return all records from the Task object that do not have a value in the WhatID field:
Select id, description, Subject from Task where WhatId!= NULL
When the data architect usages the query to select values for a process a time out error occurs.
What does the data architect need to change to make this query more performant?

A. Remove description from the requested field set.
B. Add limit 100 to the query.
C. Change the where clause to filter by a deterministic defined value.
D. Change query to SOSL.

Answer: C

Explanation:
According to the Salesforce documentation, SOQL is a query language that allows querying data from Salesforce objects and fields. SOQL queries have various clauses and operators that can be used to filter and sort the results. However, some clauses and operators can affect the performance of SOQL queries by increasing the cost or complexity of executing them.
To make this query more performant, a data architect should change the where clause to filter by a deterministic defined value (option D). This means using a filter condition that specifies a concrete value or range of values for a field, such as WhatId = '001xx000003DGg3' or WhatId IN ('001xx000003DGg3',
'001xx000003DGg4'). This can improve the performance of the query by reducing the number of records that need to be scanned and returned. A deterministic defined value can also leverage an index on the field, which can speed up the query execution.
Removing description from the requested field set (option A) is not a good solution, as it can affect the functionality or usability of the query. The description field may contain important or relevant information that is needed for the process. Changing the query to SOSL (option B) is also not a good solution, as SOSL is a different query language that allows searching text fields across multiple objects. SOSL queries have different syntax and limitations than SOQL queries, and may not return the same results or performance.
Adding limit 100 to the query (option C) is also not a good solution, as it can affect the completeness or accuracy of the query. The limit clause specifies the maximum number of records that can be returned by the query, which may not include all the records that match the filter condition.

NEW QUESTION # 49
Universal Containers (UC) is migrating from a legacy system to Salesforce CRM, UC is concerned about the quality of data being entered by users and through external integrations.
Which two solution should a data architect recommend to mitigate data quality issues?

A. Leverage picklist and lookup fields where possible
B. Leverage validation rules and workflows.
C. Leverage Apex to validate the format of data being entered via a mobile device.
D. Leverage third-party- AppExchange tools

Answer: A,B

NEW QUESTION # 50
Universal Containers has a rollup summary field on account to calculate the number of contacts associated with an account. During the account load, Salesforce is throwing an "UNABLE _TO_LOCK_ROW" error.
Which solution should a data architect recommend to resolve the error?

A. Perform a batch job in parallel mode and reduce the batch size.
B. Leverage Data Loader's platform API to load data.
C. Perform a batch job in serial mode and reduce the batch size.
D. Defer rollup summary field calculation during data migration.

Answer: C

Explanation:
According to the Salesforce documentation1, the "UNABLE _TO_LOCK_ROW" error occurs when a record is being updated or created, and another operation tries to access or update the same record at the same time. This can cause lock contention and timeout issues. To resolve the error, some of the recommended solutions are:
Perform a batch job in serial mode and reduce the batch size (option B). This means running the batch job one at a time and processing fewer records per batch. This can reduce the chances of concurrent updates and lock contention on the same records.
Use the FOR UPDATE keyword to lock records in Apex code or API calls. This means explicitly locking the records that are being accessed or updated by a transaction, and preventing other transactions from modifying them until the lock is released. This can avoid conflicts and errors between concurrent operations on the same records2.
Defer rollup summary field calculation during data migration (option A). This means disabling the automatic calculation of rollup summary fields on the parent object when child records are inserted or updated. This can improve performance and avoid locking issues on the parent records. However, this option is only available for custom objects, not standard objects3.
Performing a batch job in parallel mode and reducing the batch size (option C) is not a good solution, as it can still cause lock contention and errors if multiple batches try to access or update the same records at the same time. Leveraging Data Loader's platform API to load data (option D) is also not a good solution, as it can still encounter locking issues if other operations are modifying the same records at the same time.

NEW QUESTION # 51
Northern Trail Outfitters <NTO> is streaming IoT data from connected devices to a cloud database. Every 24 hours. 100,000 records are generated.
NIO employees will need to see these lol records within Salesforce and generate weekly reports on it. Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows.
Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?

A. Unidirectional integration
B. Virtualization
C. Persistence
D. Bidirectional integration

Answer: B

NEW QUESTION # 52
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